Martine M. Groefsema

The paper uses ensemble machine learning to predict future drinking in young adults by combining MRI, psychometric, and behavioral data, finding that specific neuroimaging and non-neuroimaging factors are strong predictors.

The paper examines brain and behavioral responses to social alcohol cues and their link to drinking in a social setting, finding no significant association.

The paper examines brain responses to beer anticipation and consumption in different drinking groups, finding reward network activation but no group differences.